Climatch

Land with a climate like Ibaté

🇧🇷Ibaté, São Paulo, Brazil

The towns with the closest growing climate to Ibaté are São João da Boa Vista, Brazil (99% match), Mogi Guaçu and São José do Rio Pardo. About 475,000 sq mi of land in 21 countries matches 80% or better, most of it in Minas Gerais, Brazil, São Paulo, Brazil and Mato Grosso do Sul, Brazil.The towns with the closest growing climate to Ibaté are São João da Boa Vista, Brazil (99% match), Mogi Guaçu and São José do Rio Pardo. About 1.2 million km² of land in 21 countries matches 80% or better, most of it in Minas Gerais, Brazil, São Paulo, Brazil and Mato Grosso do Sul, Brazil.

Your growing climate

Zone 11a · No frost · 3 chill hours · 52 in rainZone 11a · No frost · 3 chill hours · 1,318 mm rain

What grows in Ibaté →

Regions with the most land like yours

  1. 1

    🇧🇷Minas Gerais, Brazil

    124k sq mi322k km² matching 80% or better

    For example Monte Santo de Minas (99), Jacutinga (99)

  2. 2

    🇧🇷São Paulo, Brazil

    83k sq mi215k km² matching 80% or better

    For example São João da Boa Vista (99), Cordeirópolis (99)

  3. 3

    🇧🇷Mato Grosso do Sul, Brazil

    55k sq mi144k km² matching 80% or better

    For example Chapadão do Sul (96), Costa Rica (91)

  4. 4

    🇨🇳Yunnan, China

    25k sq mi64k km² matching 80% or better

    For example Mengman (86), Pu'er (84)

  5. 5

    🇲🇲Shan State, Myanmar

    12k sq mi30k km² matching 80% or better

    For example Panglong (82), Kēng Tung (79)

  6. 6

    🇿🇦KwaZulu-Natal, South Africa

    9,100 sq mi24k km² matching 80% or better

    For example Ulundi (84), Eshowe (84)

  7. 7

    🇻🇳Điện Biên Province, Vietnam

    6,700 sq mi17k km² matching 80% or better

    For example Mường Lay (67), Dien Bien Phu (62)

  8. 8

    🇧🇴Santa Cruz Department, Bolivia

    5,100 sq mi13k km² matching 80% or better

    For example El Torno (76), San Ignacio de Velasco (61)

  9. 9

    🇱🇦Xiangkhoang, Laos

    5,100 sq mi13k km² matching 80% or better

    For example Muang Phônsavan (88)

  10. 10

    🇧🇴La Paz Department, Bolivia

    3,700 sq mi9,700 km² matching 80% or better

    For example Caranavi (78)

  11. 11

    🇱🇦Oudômxai, Laos

    3,600 sq mi9,400 km² matching 80% or better

    For example Muang Xay (77)

  12. 12

    🇵🇪Cuzco Department, Peru

    2,900 sq mi7,600 km² matching 80% or better

    For example Santa Ana (90), Quillabamba (89)

Regions are states and provinces, counting land within 75 km of a town. At most three per country, so the list covers the world.

Closest towns

  1. 1

    🇧🇷São João da Boa VistaSão Paulo, Brazil

    Zone 11a · No frost · 5 chill hours · 56 in rainZone 11a · No frost · 5 chill hours · 1,420 mm rain

    Shares 22 of your 22 great-fit crops · Also great there: banana, tea

    99%match
  2. 2

    🇧🇷Mogi GuaçuSão Paulo, Brazil

    Zone 11a · No frost · 4 chill hours · 52 in rainZone 11a · No frost · 4 chill hours · 1,329 mm rain

    Shares 22 of your 22 great-fit crops

    99%match
  3. 3

    🇧🇷São José do Rio PardoSão Paulo, Brazil

    Zone 11a · No frost · 4 chill hours · 55 in rainZone 11a · No frost · 4 chill hours · 1,386 mm rain

    Shares 22 of your 22 great-fit crops · Also great there: banana

    99%match
  4. 4

    🇧🇷CampinasSão Paulo, Brazil

    Zone 11a · No frost · 0 chill hours · 49 in rainZone 11a · No frost · 0 chill hours · 1,256 mm rain

    Shares 22 of your 22 great-fit crops · Also great there: banana

    99%match
  5. 5

    🇧🇷BatataisSão Paulo, Brazil

    Zone 11a · No frost · 0 chill hours · 61 in rainZone 11a · No frost · 0 chill hours · 1,557 mm rain

    Shares 21 of your 22 great-fit crops · Also great there: tea, banana

    99%match
  6. 6

    🇧🇷Pouso AlegreMinas Gerais, Brazil

    Zone 10b · No frost · 31 chill hours · 59 in rainZone 10b · No frost · 31 chill hours · 1,502 mm rain

    Shares 20 of your 22 great-fit crops · Also great there: tea, banana

    99%match
  7. 7

    🇧🇷São Sebastião do ParaísoMinas Gerais, Brazil

    Zone 11a · No frost · 5 chill hours · 61 in rainZone 11a · No frost · 5 chill hours · 1,559 mm rain

    Shares 21 of your 22 great-fit crops · Also great there: tea, banana

    99%match
  8. 8

    🇧🇷AgudosSão Paulo, Brazil

    Zone 11a · No frost · 0 chill hours · 45 in rainZone 11a · No frost · 0 chill hours · 1,147 mm rain

    Shares 22 of your 22 great-fit crops · Also great there: banana

    99%match
  9. 9

    🇧🇷AlfenasMinas Gerais, Brazil

    Zone 10b · No frost · 38 chill hours · 59 in rainZone 10b · No frost · 38 chill hours · 1,491 mm rain

    Shares 21 of your 22 great-fit crops · Also great there: tea, banana

    99%match
  10. 10

    🇧🇷Lençóis PaulistaSão Paulo, Brazil

    Zone 11a · No frost · 0 chill hours · 47 in rainZone 11a · No frost · 0 chill hours · 1,185 mm rain

    Shares 22 of your 22 great-fit crops · Also great there: banana

    99%match
  11. 11

    🇧🇷PiracicabaSão Paulo, Brazil

    Zone 11a · No frost · 0 chill hours · 48 in rainZone 11a · No frost · 0 chill hours · 1,230 mm rain

    Shares 22 of your 22 great-fit crops

    99%match
  12. 12

    🇧🇷MococaSão Paulo, Brazil

    Zone 11a · No frost · 2 chill hours · 54 in rainZone 11a · No frost · 2 chill hours · 1,371 mm rain

    Shares 22 of your 22 great-fit crops

    99%match
  13. 13

    🇧🇷LavrasMinas Gerais, Brazil

    Zone 10b · No frost · 18 chill hours · 60 in rainZone 10b · No frost · 18 chill hours · 1,514 mm rain

    Shares 21 of your 22 great-fit crops · Also great there: tea

    99%match
  14. 14

    🇧🇷Carmo do Rio ClaroMinas Gerais, Brazil

    Zone 10b · No frost · 25 chill hours · 60 in rainZone 10b · No frost · 25 chill hours · 1,523 mm rain

    Shares 20 of your 22 great-fit crops · Also great there: tea, banana

    99%match
  15. 15

    🇧🇷SocorroSão Paulo, Brazil

    Zone 11a · No frost · 17 chill hours · 52 in rainZone 11a · No frost · 17 chill hours · 1,333 mm rain

    Shares 20 of your 22 great-fit crops · Also great there: tea, banana

    99%match
  16. 16

    🇧🇷FrancaSão Paulo, Brazil

    Zone 11b · No frost · 0 chill hours · 65 in rainZone 11b · No frost · 0 chill hours · 1,654 mm rain

    Shares 21 of your 22 great-fit crops · Also great there: tea, banana

    99%match
  17. 17

    🇧🇷Santa Cruz das PalmeirasSão Paulo, Brazil

    Zone 11a · No frost · 0 chill hours · 50 in rainZone 11a · No frost · 0 chill hours · 1,265 mm rain

    Shares 22 of your 22 great-fit crops

    99%match
  18. 18

    🇧🇷São Gonçalo do SapucaíMinas Gerais, Brazil

    Zone 10b · No frost · 63 chill hours · 57 in rainZone 10b · No frost · 63 chill hours · 1,444 mm rain

    Shares 20 of your 22 great-fit crops · Also great there: tea

    99%match
  19. 19

    🇧🇷Campo BeloMinas Gerais, Brazil

    Zone 10b · No frost · 24 chill hours · 58 in rainZone 10b · No frost · 24 chill hours · 1,481 mm rain

    Shares 22 of your 22 great-fit crops · Also great there: tea, banana

    99%match
  20. 20

    🇧🇷BotucatuSão Paulo, Brazil

    Zone 11a · No frost · 13 chill hours · 51 in rainZone 11a · No frost · 13 chill hours · 1,306 mm rain

    Shares 20 of your 22 great-fit crops · Also great there: banana, tea

    98%match

Any town over 15,000 people, skipping those within 75 km of you. ↻ = seasons flipped across the equator.

How matching works

We compare all twelve months of average highs and lows, rain, humidity and sunshine, the same way as Climatch's places-like search, but weighted for growing: winter lows count most, since frost, chill and hardiness decide which perennials survive, then summer highs and rain. Humidity counts least.

Scores show how unusual a match this close is: 80 or better is closer than all but about 2% of random pairs of places. Across the equator seasons are lined up (↻), so a southern farm's January is compared with a northern July. Climate is only part of it: check soil, water and day length (it matters for photoperiod crops) before buying land.

Looking for land?

We're building detailed reports on land like Ibaté: frost risk year by year, water, and how each match's climate is shifting by 2050.

We'll only use your email for the report and related updates.

Climate data: TerraClimate 1991–2020 monthly averages (Abatzoglou, J.T. et al., 2018, Scientific Data 5:170191). Humidity is derived from TerraClimate vapor pressure; “sunshine” is solar radiation.

Places: GeoNames (CC BY 4.0). Map: © OpenStreetMap contributors, tiles by OpenFreeMap.

Grower tools: crop ranges from FAO ECOCROP and university extension guides (cited per crop). Daily weather, frost dates and chill are estimated from the monthly averages; chill portions use the Dynamic Model (Fishman, Erez & Couvillon, 1987), hardiness zones follow the USDA definition.